世界各国のリアルタイムなデータ・インテリジェンスで皆様をお手伝い

ディープラーニングチップセットの市場調査:チャットボットとサービスボットが世界的な急速な普及の要因に!


Market Study on Deep Learning Chipset: Chatbots and Service Bots are to Blame for Rapid Adoption Worldwide!

深層学習チップセット市場:2017年から2021年までの世界の産業分析と2022年から2032年までの機会評価 Persistence Market Research(PMR)が発行した深層学習チップセット市場に関する最新の市場調査レポート... もっと見る

 

 

出版社 出版年月 電子版価格 ページ数 言語
Persistence Market Research
パーシスタンスマーケットリサーチ
2023年3月16日 US$4,900
シングルユーザライセンス
ライセンス・価格情報
注文方法はこちら
250 英語

 

サマリー

深層学習チップセット市場:2017年から2021年までの世界の産業分析と2022年から2032年までの機会評価

Persistence Market Research(PMR)が発行した深層学習チップセット市場に関する最新の市場調査レポートは、2017年から2021年までの世界の産業分析と、2022年から2032年までの機会評価を提供しています。本調査では、最も重要な市場力学の包括的な評価を提供しています。過去の成長パラメータだけでなく、現在の成長パラメータについても徹底的な調査を行った上で、市場の成長見通しを最大限の精度で得ています。

市場セグメンテーション

世界の深層学習チップセット市場は、市場のあらゆる側面をカバーし、読者に完全な市場情報を提示するために詳細にセグメント化されています。

タイプ別

中央演算処理装置(CPU)
グラフィックス・プロセッシング・ユニット(GPU)
フィールドプログラマブルゲートアレイ(FPGA)
特定用途向け集積回路(ASIC)
その他(NPU、ハイブリッドチップ)
技術別

システムオンチップ(SOC)
システムインパッケージ(SIP)
マルチチップモジュール
地域別

北アメリカ
中南米
欧州
アジア太平洋地域
中近東・アフリカ
レポートの章立て

第01章 - エグゼクティブサマリー

深層学習チップセット市場のエグゼクティブサマリーには、世界の深層学習チップセット市場に関する世界市場分析、独自の運命の輪、需要側と供給側の動向、機会評価、提言が含まれています

第02章 - 市場概要

読者の皆様は、本章でディープラーニングチップセット市場の詳細な区分と定義を確認することができ、ディープラーニングチップセットに関する基本情報を理解するのに役立ちます。また、本章では包含と除外を強調しており、読者はディープラーニングチップセット市場レポートの範囲を理解することができます。

第03章 市場の背景

本章では、世界のディープラーニングチップセット市場の関連業界評価を実施します。また、本章では、予測期間中に世界のディープラーニングチップセット市場の成長に影響を与えると予想される主要なマクロ経済要因について説明します。マクロ経済要因とともに、本セクションでは、市場の機会分析、ソーシャルメディアのセンチメント分析、行動8分析も取り上げています。深層学習チップセット市場の主要な市場ダイナミクスを提供し、これにはドライバー、阻害要因、機会が含まれます。

第04章 世界のディープラーニングチップセット市場の2017年から2021年までの需要分析と2022年から2032年までの予測

このセクションでは、過去のカスタムディープラーニングチップセット市場価値の詳細な分析、および将来の機会分析を提供します。読者は、今年度(2022年から2023年)の増分機会、予測期間(2022年から2032年)の絶対機会も知ることができます。

第05章 ディープラーニングチップセットの世界市場 2017年から2021年までの分析、2022年から2032年までの予測、タイプ別

ディープラーニングチップセット市場は、中央処理装置(CPU)、グラフィックス処理装置(GPU)、フィールドプログラミングゲートアレイ(FPGA)、特定用途向け集積回路(ASICS)、およびNPUとハイブリッドチップを含むその他に区分される。本章では、読者はタイプに基づく市場魅力度分析を見つけることができます。

第06章 ディープラーニングチップセットの世界市場 2017年から2021年の分析、2022年から2032年の予測(技術別

本章では、システムオンチップ(SOC)、システムインパッケージ(SIP)、マルチチップモジュールなどの技術に基づくディープラーニングチップセット市場の詳細について説明します。本章では、読者はアプリケーションに基づく、市場魅力度分析を見つけることができます。

第07章 2017年から2021年までのディープラーニングチップセットの世界市場分析と2022年から2032年までの地域別機会評価

本章では、北米、中南米、欧州、アジア太平洋、中東・アフリカなど、さまざまな地理的地域でディープラーニングチップセット市場がどのように成長するかを解説します。

第08章 北米ディープラーニングチップセット市場 2017年から2021年までの分析と2022年から2032年までの予測

本章では、北米地域におけるディープラーニングチップセット市場の成長について、米国とカナダを含む国別評価とともに詳細に分析します。また、読者は北米地域の地域動向、機会、市場成長などを知ることができます。

第09章 ラテンアメリカの深層学習チップセット市場 2017年から2021年までの分析と2022年から2032年までの予測

読者は、中南米地域におけるディープラーニングチップセット市場の成長に影響を与えている価格分析や地域動向など、いくつかの要因についての詳細情報を得ることができます。本章では、ブラジル、メキシコ、アルゼンチン、ラテンアメリカの残りの地域などの主要国におけるディープラーニングチップセット市場の成長見通しも記載しています。

第10章 欧州のディープラーニングチップセット市場 2017年から2021年までの分析と2022年から2032年までの予測

本章では、ドイツ、イタリア、フランス、イギリス、スペイン、ベルギー、およびヨーロッパの残りの部分など、いくつかの国における深層学習チップセット市場の重要な成長見通しを記載しています。

第11章 -アジア太平洋地域のディープラーニングチップセット市場 2017年から2021年までの分析と2022年から2032年までの予測

本章では、中国、日本、韓国、インド、オーストラリア、その他のアジア太平洋地域を含む国別評価とともに、アジア太平洋地域におけるディープラーニングチップセット市場の成長に関する詳細な分析が含まれています。読者は、アジア太平洋地域の国々の地域動向、阻害要因、市場成長も確認することができます。

第12章 中東・アフリカのディープラーニングチップセット市場 2017年から2021年の分析、2022年から2032年の予測

本章では、2022年から2032年の予測期間において、南アフリカ、サウジアラビア、アラブ首長国連邦、中東・アフリカの残りの地域など、中東・アフリカ地域の主要国でディープラーニングチップセット市場がどのように成長すると予測されるかについての洞察を提供します。

第13章 主要国のディープラーニングチップセット市場分析

本章では、2022年から2032年の予測期間において、アメリカ、カナダ、ブラジル、メキシコ、アルゼンチン、ドイツ、イタリア、フランス、イギリス、スペイン、ベルギー、中国、日本、韓国、インド、オーストラリア、サウジアラビア、南アフリカ、アラブ首長国連邦などの主要国において、ディープラーニングチップセット市場がどのように成長すると予測されるかについての洞察を示します。

第14章 市場構造分析

本章では、読者はディープラーニングチップセット市場における主要プレイヤーのティア分析および市場集中度に関する詳細情報を、地域別および製品ポートフォリオ別の市場プレゼンス分析とともにご覧いただけます。

第15章 競合分析

本章では、読者は、深層学習チップセット市場のメーカー/プレイヤーの包括的なリストと、会社概要、収益シェア、戦略的概要、最近の企業動向を含む各企業の詳細情報を確認できます。本レポートで紹介する市場プレイヤーは、Alphabet Inc.、Amazon.Com, Inc.、Advanced Micro Devices, Inc.、Baidu, Inc.、Bitmain Technologies Ltd.、インテル株式会社、Nvidia Corporation、Qualcomm Incorporated、 Samsung Electronics Co.Ltd.、Xilinx, Inc.

第16章 前提条件と頭字語

本章では、ディープラーニングチップセット市場レポートに含まれる情報や統計のベースとなる、頭字語や仮定の一覧を掲載しています。

第17章 - 調査方法論

本章では、深層学習チップセット市場に関する様々な結論や重要な定性的・定量的情報を得るために辿った調査方法を読者に理解してもらいます。

ページTOPに戻る


目次

1. Executive Summary

    1.1. Global Market Outlook

    1.2. Demand-side Trends

    1.3. Supply-side Trends

    1.4. Technology Roadmap Analysis

    1.5. Analysis and Recommendations

2. Market Overview

    2.1. Market Coverage / Taxonomy

    2.2. Market Definition / Scope / Limitations

3. Market Background

    3.1. Market Dynamics

        3.1.1. Drivers

        3.1.2. Restraints

        3.1.3. Opportunity

        3.1.4. Trends

    3.2. Scenario Forecast

        3.2.1. Demand in Optimistic Scenario

        3.2.2. Demand in Likely Scenario

        3.2.3. Demand in Conservative Scenario

    3.3. Opportunity Map Analysis

    3.4. Product Life Cycle Analysis

    3.5. Supply Chain Analysis

        3.5.1. Supply Side Participants and their Roles

            3.5.1.1. Producers

            3.5.1.2. Mid-Level Participants (Traders/ Agents/ Brokers)

            3.5.1.3. Wholesalers and Distributors

        3.5.2. Value Added and Value Created at Node in the Supply Chain

        3.5.3. List of Raw Material Suppliers

        3.5.4. List of Existing and Potential Buyer’s

    3.6. Investment Feasibility Matrix

    3.7. Value Chain Analysis

        3.7.1. Profit Margin Analysis

        3.7.2. Wholesalers and Distributors

        3.7.3. Retailers

    3.8. PESTLE and Porter’s Analysis

    3.9. Regulatory Landscape

        3.9.1. By Key Regions

        3.9.2. By Key Countries

    3.10. Regional Parent Market Outlook

    3.11. Production and Consumption Statistics

    3.12. Import and Export Statistics

4. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast, 2022 to 2032

    4.1. Historical Market Size Value (US$ billion) & Volume (Units) Analysis, 2017 to 2021

    4.2. Current and Future Market Size Value (US$ billion) & Volume (Units) Projections, 2022 to 2032

        4.2.1. Y-o-Y Growth Trend Analysis

        4.2.2. Absolute $ Opportunity Analysis

5. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Type

    5.1. Introduction / Key Findings

    5.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Type, 2017 to 2021

    5.3. Current and Future Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Type, 2022 to 2032

        5.3.1. Central Processing Units (CPUs)

        5.3.2. Graphics Processing Units (GPUs)

        5.3.3. Field Programmable Gate Arrays (FPGAs)

        5.3.4. Application-Specific Integrated Circuits (ASICs)

        5.3.5. Others (NPU & Hybrid Chip)

    5.4. Y-o-Y Growth Trend Analysis By Type, 2017 to 2021

    5.5. Absolute $ Opportunity Analysis By Type, 2022 to 2032

6. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Technology

    6.1. Introduction / Key Findings

    6.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Technology, 2017 to 2021

    6.3. Current and Future Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Technology, 2022 to 2032

        6.3.1. System-on-chip (SOC))

        6.3.2. System-in-package (SIP

        6.3.3. Multi-Chip Module

        6.3.4. Others

    6.4. Y-o-Y Growth Trend Analysis By Technology, 2017 to 2021

    6.5. Absolute $ Opportunity Analysis By Technology, 2022 to 2032

7. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Region

    7.1. Introduction

    7.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Region, 2017 to 2021

    7.3. Current Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Region, 2022 to 2032

        7.3.1. North America

        7.3.2. Latin America

        7.3.3. Europe

        7.3.4. Asia Pacific

        7.3.5. Middle East and Africa

    7.4. Market Attractiveness Analysis By Region

8. North America Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country

    8.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021

    8.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032

        8.2.1. By Country

            8.2.1.1. USA

            8.2.1.2. Canada

        8.2.2. By Type

        8.2.3. By Technology

    8.3. Market Attractiveness Analysis

        8.3.1. By Country

        8.3.2. By Type

        8.3.3. By Technology

    8.4. Key Takeaways

9. Latin America Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country

    9.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021

    9.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032

        9.2.1. By Country

            9.2.1.1. Brazil

            9.2.1.2. Mexico

            9.2.1.3. Rest of Latin America

        9.2.2. By Type

        9.2.3. By Technology

    9.3. Market Attractiveness Analysis

        9.3.1. By Country

        9.3.2. By Type

        9.3.3. By Technology

    9.4. Key Takeaways

10. Europe Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country

    10.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021

    10.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032

        10.2.1. By Country

            10.2.1.1. Germany

            10.2.1.2. United Kingdom

            10.2.1.3. France

            10.2.1.4. Spain

            10.2.1.5. Italy

            10.2.1.6. Rest of Europe

        10.2.2. By Type

        10.2.3. By Technology

    10.3. Market Attractiveness Analysis

        10.3.1. By Country

        10.3.2. By Type

        10.3.3. By Technology

    10.4. Key Takeaways

11. Asia Pacific Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country

    11.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021

    11.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032

        11.2.1. By Country

            11.2.1.1. China

            11.2.1.2. Japan

            11.2.1.3. South Korea

            11.2.1.4. Singapore

            11.2.1.5. Thailand

            11.2.1.6. Indonesia

            11.2.1.7. Australia

            11.2.1.8. New Zealand

            11.2.1.9. Rest of Asia Pacific

        11.2.2. By Type

        11.2.3. By Technology

    11.3. Market Attractiveness Analysis

        11.3.1. By Country

        11.3.2. By Type

        11.3.3. By Technology

    11.4. Key Takeaways

12. Middle East and Africa Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country

    12.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021

    12.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032

        12.2.1. By Country

            12.2.1.1. Gulf Cooperation Council Countries

            12.2.1.2. South Africa

            12.2.1.3. Israel

            12.2.1.4. Rest of Middle East and Africa

        12.2.2. By Type

        12.2.3. By Technology

    12.3. Market Attractiveness Analysis

        12.3.1. By Country

        12.3.2. By Type

        12.3.3. By Technology

    12.4. Key Takeaways

13. Key Countries Deep Learning Chipset Market Analysis

    13.1. USA

        13.1.1. Pricing Analysis

        13.1.2. Market Share Analysis, 2021

            13.1.2.1. By Type

            13.1.2.2. By Technology

    13.2. Canada

        13.2.1. Pricing Analysis

        13.2.2. Market Share Analysis, 2021

            13.2.2.1. By Type

            13.2.2.2. By Technology

    13.3. Brazil

        13.3.1. Pricing Analysis

        13.3.2. Market Share Analysis, 2021

            13.3.2.1. By Type

            13.3.2.2. By Technology

    13.4. Mexico

        13.4.1. Pricing Analysis

        13.4.2. Market Share Analysis, 2021

            13.4.2.1. By Type

            13.4.2.2. By Technology

    13.5. Germany

        13.5.1. Pricing Analysis

        13.5.2. Market Share Analysis, 2021

            13.5.2.1. By Type

            13.5.2.2. By Technology

    13.6. United Kingdom

        13.6.1. Pricing Analysis

        13.6.2. Market Share Analysis, 2021

            13.6.2.1. By Type

            13.6.2.2. By Technology

    13.7. France

        13.7.1. Pricing Analysis

        13.7.2. Market Share Analysis, 2021

            13.7.2.1. By Type

            13.7.2.2. By Technology

    13.8. Spain

        13.8.1. Pricing Analysis

        13.8.2. Market Share Analysis, 2021

            13.8.2.1. By Type

            13.8.2.2. By Technology

    13.9. Italy

        13.9.1. Pricing Analysis

        13.9.2. Market Share Analysis, 2021

            13.9.2.1. By Type

            13.9.2.2. By Technology

    13.10. China

        13.10.1. Pricing Analysis

        13.10.2. Market Share Analysis, 2021

            13.10.2.1. By Type

            13.10.2.2. By Technology

    13.11. Japan

        13.11.1. Pricing Analysis

        13.11.2. Market Share Analysis, 2021

            13.11.2.1. By Type

            13.11.2.2. By Technology

    13.12. South Korea

        13.12.1. Pricing Analysis

        13.12.2. Market Share Analysis, 2021

            13.12.2.1. By Type

            13.12.2.2. By Technology

    13.13. Singapore

        13.13.1. Pricing Analysis

        13.13.2. Market Share Analysis, 2021

            13.13.2.1. By Type

            13.13.2.2. By Technology

    13.14. Thailand

        13.14.1. Pricing Analysis

        13.14.2. Market Share Analysis, 2021

            13.14.2.1. By Type

            13.14.2.2. By Technology

    13.15. Indonesia

        13.15.1. Pricing Analysis

        13.15.2. Market Share Analysis, 2021

            13.15.2.1. By Type

            13.15.2.2. By Technology

    13.16. Australia

        13.16.1. Pricing Analysis

        13.16.2. Market Share Analysis, 2021

            13.16.2.1. By Type

            13.16.2.2. By Technology

    13.17. New Zealand

        13.17.1. Pricing Analysis

        13.17.2. Market Share Analysis, 2021

            13.17.2.1. By Type

            13.17.2.2. By Technology

    13.18. Gulf Cooperation Council Countries

        13.18.1. Pricing Analysis

        13.18.2. Market Share Analysis, 2021

            13.18.2.1. By Type

            13.18.2.2. By Technology

    13.19. South Africa

        13.19.1. Pricing Analysis

        13.19.2. Market Share Analysis, 2021

            13.19.2.1. By Type

            13.19.2.2. By Technology

    13.20. Israel

        13.20.1. Pricing Analysis

        13.20.2. Market Share Analysis, 2021

            13.20.2.1. By Type

            13.20.2.2. By Technology

14. Market Structure Analysis

    14.1. Competition Dashboard

    14.2. Competition Benchmarking

    14.3. Market Share Analysis of Top Players

        14.3.1. By Regional

        14.3.2. By Type

        14.3.3. By Technology

15. Competition Analysis

    15.1. Competition Deep Dive

        15.1.1. Alphabet Inc.

            15.1.1.1. Overview

            15.1.1.2. Product Portfolio

            15.1.1.3. Profitability by Market Segments

            15.1.1.4. Sales Footprint

            15.1.1.5. Strategy Overview

                15.1.1.5.1. Marketing Strategy

                15.1.1.5.2. Product Strategy

                15.1.1.5.3. Channel Strategy

        15.1.2. Amazon.Com, Inc.

            15.1.2.1. Overview

            15.1.2.2. Product Portfolio

            15.1.2.3. Profitability by Market Segments

            15.1.2.4. Sales Footprint

            15.1.2.5. Strategy Overview

                15.1.2.5.1. Marketing Strategy

                15.1.2.5.2. Product Strategy

                15.1.2.5.3. Channel Strategy

        15.1.3. Advanced Micro Devices, Inc.

            15.1.3.1. Overview

            15.1.3.2. Product Portfolio

            15.1.3.3. Profitability by Market Segments

            15.1.3.4. Sales Footprint

            15.1.3.5. Strategy Overview

                15.1.3.5.1. Marketing Strategy

                15.1.3.5.2. Product Strategy

                15.1.3.5.3. Channel Strategy

        15.1.4. Baidu, Inc.

            15.1.4.1. Overview

            15.1.4.2. Product Portfolio

            15.1.4.3. Profitability by Market Segments

            15.1.4.4. Sales Footprint

            15.1.4.5. Strategy Overview

                15.1.4.5.1. Marketing Strategy

                15.1.4.5.2. Product Strategy

                15.1.4.5.3. Channel Strategy

        15.1.5. Bitmain Technologies Ltd.

            15.1.5.1. Overview

            15.1.5.2. Product Portfolio

            15.1.5.3. Profitability by Market Segments

            15.1.5.4. Sales Footprint

            15.1.5.5. Strategy Overview

                15.1.5.5.1. Marketing Strategy

                15.1.5.5.2. Product Strategy

                15.1.5.5.3. Channel Strategy

        15.1.6. Intel Corporation

            15.1.6.1. Overview

            15.1.6.2. Product Portfolio

            15.1.6.3. Profitability by Market Segments

            15.1.6.4. Sales Footprint

            15.1.6.5. Strategy Overview

                15.1.6.5.1. Marketing Strategy

                15.1.6.5.2. Product Strategy

                15.1.6.5.3. Channel Strategy

        15.1.7. Nvidia Corporation

            15.1.7.1. Overview

            15.1.7.2. Product Portfolio

            15.1.7.3. Profitability by Market Segments

            15.1.7.4. Sales Footprint

            15.1.7.5. Strategy Overview

                15.1.7.5.1. Marketing Strategy

                15.1.7.5.2. Product Strategy

                15.1.7.5.3. Channel Strategy

        15.1.8. Qualcomm Incorporated

            15.1.8.1. Overview

            15.1.8.2. Product Portfolio

            15.1.8.3. Profitability by Market Segments

            15.1.8.4. Sales Footprint

            15.1.8.5. Strategy Overview

                15.1.8.5.1. Marketing Strategy

                15.1.8.5.2. Product Strategy

                15.1.8.5.3. Channel Strategy

        15.1.9. Samsung Electronics Co. Ltd.

            15.1.9.1. Overview

            15.1.9.2. Product Portfolio

            15.1.9.3. Profitability by Market Segments

            15.1.9.4. Sales Footprint

            15.1.9.5. Strategy Overview

                15.1.9.5.1. Marketing Strategy

                15.1.9.5.2. Product Strategy

                15.1.9.5.3. Channel Strategy

        15.1.10. Xilinx, Inc

            15.1.10.1. Overview

            15.1.10.2. Product Portfolio

            15.1.10.3. Profitability by Market Segments

            15.1.10.4. Sales Footprint

            15.1.10.5. Strategy Overview

                15.1.10.5.1. Marketing Strategy

                15.1.10.5.2. Product Strategy

                15.1.10.5.3. Channel Strategy

16. Assumptions & Acronyms Used

17. Research Methodology

ページTOPに戻る



図表リスト

Table 1: Global Deep Learning Chipset Market Value (US$ billion) Forecast by Region, 2017 to 2032

Table 2: Global Deep Learning Chipset Market Volume (Units) Forecast by Region, 2017 to 2032

Table 3: Global Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032

Table 4: Global Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032

Table 5: Global Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032

Table 6: Global Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032

Table 7: North America Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032

Table 8: North America Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032

Table 9: North America Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032

Table 10: North America Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032

Table 11: North America Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032

Table 12: North America Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032

Table 13: Latin America Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032

Table 14: Latin America Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032

Table 15: Latin America Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032

Table 16: Latin America Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032

Table 17: Latin America Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032

Table 18: Latin America Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032

Table 19: Europe Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032

Table 20: Europe Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032

Table 21: Europe Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032

Table 22: Europe Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032

Table 23: Europe Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032

Table 24: Europe Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032

Table 25: Asia Pacific Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032

Table 26: Asia Pacific Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032

Table 27: Asia Pacific Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032

Table 28: Asia Pacific Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032

Table 29: Asia Pacific Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032

Table 30: Asia Pacific Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032

Table 31: Middle East and Africa Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032

Table 32: Middle East and Africa Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032

Table 33: Middle East and Africa Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032

Table 34: Middle East and Africa Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032

Table 35: Middle East and Africa Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032

Table 36: Middle East and Africa Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032

 

ページTOPに戻る


 

Summary

Deep Learning Chipset Market: Global Industry Analysis from 2017 to 2021 and Opportunity Assessment from 2022 to 2032

A recent market study published by Persistence Market Research (PMR) on the deep learning chipset market offers a global industry analysis from 2017 to 2021 and an opportunity assessment from 2022 to 2032. The study offers a comprehensive assessment of the most important market dynamics. After conducting thorough research on the historical, as well as current growth parameters, the growth prospects of the market are obtained with maximum precision.

Market Segmentation

The global deep learning chipset market is segmented in detail to cover every aspect of the market and present complete market intelligence to readers.

By Type

Central Processing Units (CPUs)
Graphics Processing Units (GPUs)
Field Programmable Gate Arrays (FPGAs)
Application-Specific Integrated Circuits (ASICs)
Others (NPU & Hybrid Chip)
By Technology

System-on-chip (SOC)
System-in-package (SIP)
Multi-Chip Module
By Region

North America
Latin America
Europe
Asia Pacific
Middle East and Africa
Report Chapters

Chapter 01 - Executive Summary

The executive summary of the deep learning chipset market includes the global market analysis, proprietary wheel of fortune, demand-side and supply-side trends, opportunity assessment, and recommendations on the global deep learning chipset market

Chapter 02 – Market Overview

Readers can find the detailed segmentation and definition of the deep learning chipset market in this chapter, which will help them understand basic information about deep learning chipsets. This section also highlights the inclusions and exclusions, which help the reader to understand the scope of the deep learning chipset market report.

Chapter 03 – Market Background

The associated industry assessment of the global deep learning chipset market is carried out in this section. In addition, this chapter explains key macroeconomic factors that are expected to influence the growth of the global deep learning chipset market over the forecast period. Along with macroeconomic factors, this section also highlights opportunity analysis, social media sentiment analysis, and behaviour8 analysis for the market. It provides key market dynamics of the deep learning chipset market, which include drivers, restraints, and opportunities.

Chapter 04 – Global Deep Learning Chipset Market Demand Analysis from 2017 to 2021 and Forecast, from 2022 to 2032

This section provides a detailed analysis of the historical custom deep learning chipset market value, along with an opportunity analysis of the future. Readers can also find the incremental opportunity for the current year (2022 to 2023) and an absolute opportunity for the forecast period (2022 to 2032).

Chapter 05 – Global Deep Learning Chipset Market Analysis from 2017 to 2021 and forecast from 2022 to 2032, By Type

The deep learning chipset market is segmented into central processing units (CPU), graphics processing unit (GPU), field programming gate arrays (FPGA), application-specific integrated circuits (ASICS), and others which include NPU and hybrid chip. In this chapter, readers can find market attractiveness analysis, based on type.

Chapter 06 – Global Deep Learning Chipset Market Analysis from 2017 to 2021 and Forecast from 2022 to 2032, by Technology

This chapter provides details about the deep learning chipset market based on technology such as system-on-chip (SOC), system-in-package (SIP), and multi-chip modules. In this chapter, readers can find market attractiveness analysis, based on application.

Chapter 07 – Global Deep Learning Chipset Market Analysis from 2017 to 2021 and Opportunity Assessment from 2022 to 2032 by Region

This chapter explains how the deep learning chipset market will grow across various geographic regions, such as North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa.

Chapter 08 – North America Deep Learning Chipset Market Analysis from 2017 to 2021 and Forecast from 2022 to 2032

This chapter includes a detailed analysis of the growth of the deep learning chipset market in the North American region, along with a country-wise assessment that includes the USA and Canada. Readers can also find regional trends, opportunities, and market growth in the North American region.

Chapter 09 – Latin America Deep Learning Chipset Market Analysis from 2017 to 2021 and Forecast from 2022 to 2032

Readers can find detailed information about several factors, such as the pricing analysis and regional trends, which are impacting the growth of the deep learning chipset market in the Latin America region. This chapter also includes the growth prospects of the deep learning chipset market in leading countries such as Brazil, Mexico, Argentina, and the Rest of Latin America.

Chapter 10 – Europe Deep Learning Chipset Market Analysis from 2017 to 2021 and forecast from 2022 to 2032

Important growth prospects of the deep learning chipset market in several countries such as Germany, Italy, France, the United Kingdom, Spain, Belgium, and the Rest of Europe are included in this chapter.

Chapter 11 –Asia Pacific Deep Learning Chipset Market Analysis from 2017 to 2021 and forecast from 2022 to 2032

This chapter includes a detailed analysis of the growth of the deep learning chipset market in the Asia Pacific region, along with a country-wise assessment that includes China, Japan, South Korea, India, Australia, and the rest of Asia Pacific. Readers can also find regional trends, restraints, and market growth of countries in the Asia Pacific region.

Chapter 12 – Middle East and Africa Deep Learning Chipset Market Analysis from 2017 to 2021 and Forecast from 2022 to 2032

This chapter offers insights into how the deep learning chipset market is expected to grow in key countries in the Middle East and Africa region such as South Africa, Saudi Arabia, United Arab Emirates, and the Rest of Middle East and Africa, during the forecast period 2022 to 2032.

Chapter 13 – Key Countries Deep Learning Chipset Market Analysis

This chapter offers insights into how the deep learning chipset market is expected to grow in key countries such as the USA, Canada, Brazil, Mexico, Argentina, Germany, Italy, France, United Kingdom, Spain, Belgium, China, Japan, South Korea, India, Australia, Saudi Arabia, South Africa, and United Arab Emirates during the forecast period from 2022 to 2032.

Chapter 14 – Market Structure Analysis

In this chapter, readers can find detailed information about tier analysis and market concentration of the key players in the deep learning chipset market along with their market presence analysis by region and product portfolio.

Chapter 15 – Competition Analysis

In this chapter, readers can find a comprehensive list of manufacturers/ players in the deep learning chipset market, along with detailed information about each company, which includes a company overview, revenue shares, a strategic overview, and recent company developments. Some of the market players featured in the report are Alphabet Inc., Amazon.Com, Inc., Advanced Micro Devices, Inc., Baidu, Inc., Bitmain Technologies Ltd., Intel Corporation, Nvidia Corporation, Qualcomm Incorporated, Samsung Electronics Co. Ltd., and Xilinx, Inc.

Chapter 16 – Assumptions and Acronyms

This chapter includes a list of acronyms and assumptions that provide a base for the information and statistics included in the deep learning chipset market report.

Chapter 17 – Research Methodology

This chapter helps readers understand the research methodology followed to obtain various conclusions, as well as important qualitative and quantitative information, on deep learning chipset market.



ページTOPに戻る


Table of Contents

1. Executive Summary

    1.1. Global Market Outlook

    1.2. Demand-side Trends

    1.3. Supply-side Trends

    1.4. Technology Roadmap Analysis

    1.5. Analysis and Recommendations

2. Market Overview

    2.1. Market Coverage / Taxonomy

    2.2. Market Definition / Scope / Limitations

3. Market Background

    3.1. Market Dynamics

        3.1.1. Drivers

        3.1.2. Restraints

        3.1.3. Opportunity

        3.1.4. Trends

    3.2. Scenario Forecast

        3.2.1. Demand in Optimistic Scenario

        3.2.2. Demand in Likely Scenario

        3.2.3. Demand in Conservative Scenario

    3.3. Opportunity Map Analysis

    3.4. Product Life Cycle Analysis

    3.5. Supply Chain Analysis

        3.5.1. Supply Side Participants and their Roles

            3.5.1.1. Producers

            3.5.1.2. Mid-Level Participants (Traders/ Agents/ Brokers)

            3.5.1.3. Wholesalers and Distributors

        3.5.2. Value Added and Value Created at Node in the Supply Chain

        3.5.3. List of Raw Material Suppliers

        3.5.4. List of Existing and Potential Buyer’s

    3.6. Investment Feasibility Matrix

    3.7. Value Chain Analysis

        3.7.1. Profit Margin Analysis

        3.7.2. Wholesalers and Distributors

        3.7.3. Retailers

    3.8. PESTLE and Porter’s Analysis

    3.9. Regulatory Landscape

        3.9.1. By Key Regions

        3.9.2. By Key Countries

    3.10. Regional Parent Market Outlook

    3.11. Production and Consumption Statistics

    3.12. Import and Export Statistics

4. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast, 2022 to 2032

    4.1. Historical Market Size Value (US$ billion) & Volume (Units) Analysis, 2017 to 2021

    4.2. Current and Future Market Size Value (US$ billion) & Volume (Units) Projections, 2022 to 2032

        4.2.1. Y-o-Y Growth Trend Analysis

        4.2.2. Absolute $ Opportunity Analysis

5. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Type

    5.1. Introduction / Key Findings

    5.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Type, 2017 to 2021

    5.3. Current and Future Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Type, 2022 to 2032

        5.3.1. Central Processing Units (CPUs)

        5.3.2. Graphics Processing Units (GPUs)

        5.3.3. Field Programmable Gate Arrays (FPGAs)

        5.3.4. Application-Specific Integrated Circuits (ASICs)

        5.3.5. Others (NPU & Hybrid Chip)

    5.4. Y-o-Y Growth Trend Analysis By Type, 2017 to 2021

    5.5. Absolute $ Opportunity Analysis By Type, 2022 to 2032

6. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Technology

    6.1. Introduction / Key Findings

    6.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Technology, 2017 to 2021

    6.3. Current and Future Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Technology, 2022 to 2032

        6.3.1. System-on-chip (SOC))

        6.3.2. System-in-package (SIP

        6.3.3. Multi-Chip Module

        6.3.4. Others

    6.4. Y-o-Y Growth Trend Analysis By Technology, 2017 to 2021

    6.5. Absolute $ Opportunity Analysis By Technology, 2022 to 2032

7. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Region

    7.1. Introduction

    7.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Region, 2017 to 2021

    7.3. Current Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Region, 2022 to 2032

        7.3.1. North America

        7.3.2. Latin America

        7.3.3. Europe

        7.3.4. Asia Pacific

        7.3.5. Middle East and Africa

    7.4. Market Attractiveness Analysis By Region

8. North America Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country

    8.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021

    8.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032

        8.2.1. By Country

            8.2.1.1. USA

            8.2.1.2. Canada

        8.2.2. By Type

        8.2.3. By Technology

    8.3. Market Attractiveness Analysis

        8.3.1. By Country

        8.3.2. By Type

        8.3.3. By Technology

    8.4. Key Takeaways

9. Latin America Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country

    9.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021

    9.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032

        9.2.1. By Country

            9.2.1.1. Brazil

            9.2.1.2. Mexico

            9.2.1.3. Rest of Latin America

        9.2.2. By Type

        9.2.3. By Technology

    9.3. Market Attractiveness Analysis

        9.3.1. By Country

        9.3.2. By Type

        9.3.3. By Technology

    9.4. Key Takeaways

10. Europe Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country

    10.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021

    10.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032

        10.2.1. By Country

            10.2.1.1. Germany

            10.2.1.2. United Kingdom

            10.2.1.3. France

            10.2.1.4. Spain

            10.2.1.5. Italy

            10.2.1.6. Rest of Europe

        10.2.2. By Type

        10.2.3. By Technology

    10.3. Market Attractiveness Analysis

        10.3.1. By Country

        10.3.2. By Type

        10.3.3. By Technology

    10.4. Key Takeaways

11. Asia Pacific Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country

    11.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021

    11.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032

        11.2.1. By Country

            11.2.1.1. China

            11.2.1.2. Japan

            11.2.1.3. South Korea

            11.2.1.4. Singapore

            11.2.1.5. Thailand

            11.2.1.6. Indonesia

            11.2.1.7. Australia

            11.2.1.8. New Zealand

            11.2.1.9. Rest of Asia Pacific

        11.2.2. By Type

        11.2.3. By Technology

    11.3. Market Attractiveness Analysis

        11.3.1. By Country

        11.3.2. By Type

        11.3.3. By Technology

    11.4. Key Takeaways

12. Middle East and Africa Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country

    12.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021

    12.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032

        12.2.1. By Country

            12.2.1.1. Gulf Cooperation Council Countries

            12.2.1.2. South Africa

            12.2.1.3. Israel

            12.2.1.4. Rest of Middle East and Africa

        12.2.2. By Type

        12.2.3. By Technology

    12.3. Market Attractiveness Analysis

        12.3.1. By Country

        12.3.2. By Type

        12.3.3. By Technology

    12.4. Key Takeaways

13. Key Countries Deep Learning Chipset Market Analysis

    13.1. USA

        13.1.1. Pricing Analysis

        13.1.2. Market Share Analysis, 2021

            13.1.2.1. By Type

            13.1.2.2. By Technology

    13.2. Canada

        13.2.1. Pricing Analysis

        13.2.2. Market Share Analysis, 2021

            13.2.2.1. By Type

            13.2.2.2. By Technology

    13.3. Brazil

        13.3.1. Pricing Analysis

        13.3.2. Market Share Analysis, 2021

            13.3.2.1. By Type

            13.3.2.2. By Technology

    13.4. Mexico

        13.4.1. Pricing Analysis

        13.4.2. Market Share Analysis, 2021

            13.4.2.1. By Type

            13.4.2.2. By Technology

    13.5. Germany

        13.5.1. Pricing Analysis

        13.5.2. Market Share Analysis, 2021

            13.5.2.1. By Type

            13.5.2.2. By Technology

    13.6. United Kingdom

        13.6.1. Pricing Analysis

        13.6.2. Market Share Analysis, 2021

            13.6.2.1. By Type

            13.6.2.2. By Technology

    13.7. France

        13.7.1. Pricing Analysis

        13.7.2. Market Share Analysis, 2021

            13.7.2.1. By Type

            13.7.2.2. By Technology

    13.8. Spain

        13.8.1. Pricing Analysis

        13.8.2. Market Share Analysis, 2021

            13.8.2.1. By Type

            13.8.2.2. By Technology

    13.9. Italy

        13.9.1. Pricing Analysis

        13.9.2. Market Share Analysis, 2021

            13.9.2.1. By Type

            13.9.2.2. By Technology

    13.10. China

        13.10.1. Pricing Analysis

        13.10.2. Market Share Analysis, 2021

            13.10.2.1. By Type

            13.10.2.2. By Technology

    13.11. Japan

        13.11.1. Pricing Analysis

        13.11.2. Market Share Analysis, 2021

            13.11.2.1. By Type

            13.11.2.2. By Technology

    13.12. South Korea

        13.12.1. Pricing Analysis

        13.12.2. Market Share Analysis, 2021

            13.12.2.1. By Type

            13.12.2.2. By Technology

    13.13. Singapore

        13.13.1. Pricing Analysis

        13.13.2. Market Share Analysis, 2021

            13.13.2.1. By Type

            13.13.2.2. By Technology

    13.14. Thailand

        13.14.1. Pricing Analysis

        13.14.2. Market Share Analysis, 2021

            13.14.2.1. By Type

            13.14.2.2. By Technology

    13.15. Indonesia

        13.15.1. Pricing Analysis

        13.15.2. Market Share Analysis, 2021

            13.15.2.1. By Type

            13.15.2.2. By Technology

    13.16. Australia

        13.16.1. Pricing Analysis

        13.16.2. Market Share Analysis, 2021

            13.16.2.1. By Type

            13.16.2.2. By Technology

    13.17. New Zealand

        13.17.1. Pricing Analysis

        13.17.2. Market Share Analysis, 2021

            13.17.2.1. By Type

            13.17.2.2. By Technology

    13.18. Gulf Cooperation Council Countries

        13.18.1. Pricing Analysis

        13.18.2. Market Share Analysis, 2021

            13.18.2.1. By Type

            13.18.2.2. By Technology

    13.19. South Africa

        13.19.1. Pricing Analysis

        13.19.2. Market Share Analysis, 2021

            13.19.2.1. By Type

            13.19.2.2. By Technology

    13.20. Israel

        13.20.1. Pricing Analysis

        13.20.2. Market Share Analysis, 2021

            13.20.2.1. By Type

            13.20.2.2. By Technology

14. Market Structure Analysis

    14.1. Competition Dashboard

    14.2. Competition Benchmarking

    14.3. Market Share Analysis of Top Players

        14.3.1. By Regional

        14.3.2. By Type

        14.3.3. By Technology

15. Competition Analysis

    15.1. Competition Deep Dive

        15.1.1. Alphabet Inc.

            15.1.1.1. Overview

            15.1.1.2. Product Portfolio

            15.1.1.3. Profitability by Market Segments

            15.1.1.4. Sales Footprint

            15.1.1.5. Strategy Overview

                15.1.1.5.1. Marketing Strategy

                15.1.1.5.2. Product Strategy

                15.1.1.5.3. Channel Strategy

        15.1.2. Amazon.Com, Inc.

            15.1.2.1. Overview

            15.1.2.2. Product Portfolio

            15.1.2.3. Profitability by Market Segments

            15.1.2.4. Sales Footprint

            15.1.2.5. Strategy Overview

                15.1.2.5.1. Marketing Strategy

                15.1.2.5.2. Product Strategy

                15.1.2.5.3. Channel Strategy

        15.1.3. Advanced Micro Devices, Inc.

            15.1.3.1. Overview

            15.1.3.2. Product Portfolio

            15.1.3.3. Profitability by Market Segments

            15.1.3.4. Sales Footprint

            15.1.3.5. Strategy Overview

                15.1.3.5.1. Marketing Strategy

                15.1.3.5.2. Product Strategy

                15.1.3.5.3. Channel Strategy

        15.1.4. Baidu, Inc.

            15.1.4.1. Overview

            15.1.4.2. Product Portfolio

            15.1.4.3. Profitability by Market Segments

            15.1.4.4. Sales Footprint

            15.1.4.5. Strategy Overview

                15.1.4.5.1. Marketing Strategy

                15.1.4.5.2. Product Strategy

                15.1.4.5.3. Channel Strategy

        15.1.5. Bitmain Technologies Ltd.

            15.1.5.1. Overview

            15.1.5.2. Product Portfolio

            15.1.5.3. Profitability by Market Segments

            15.1.5.4. Sales Footprint

            15.1.5.5. Strategy Overview

                15.1.5.5.1. Marketing Strategy

                15.1.5.5.2. Product Strategy

                15.1.5.5.3. Channel Strategy

        15.1.6. Intel Corporation

            15.1.6.1. Overview

            15.1.6.2. Product Portfolio

            15.1.6.3. Profitability by Market Segments

            15.1.6.4. Sales Footprint

            15.1.6.5. Strategy Overview

                15.1.6.5.1. Marketing Strategy

                15.1.6.5.2. Product Strategy

                15.1.6.5.3. Channel Strategy

        15.1.7. Nvidia Corporation

            15.1.7.1. Overview

            15.1.7.2. Product Portfolio

            15.1.7.3. Profitability by Market Segments

            15.1.7.4. Sales Footprint

            15.1.7.5. Strategy Overview

                15.1.7.5.1. Marketing Strategy

                15.1.7.5.2. Product Strategy

                15.1.7.5.3. Channel Strategy

        15.1.8. Qualcomm Incorporated

            15.1.8.1. Overview

            15.1.8.2. Product Portfolio

            15.1.8.3. Profitability by Market Segments

            15.1.8.4. Sales Footprint

            15.1.8.5. Strategy Overview

                15.1.8.5.1. Marketing Strategy

                15.1.8.5.2. Product Strategy

                15.1.8.5.3. Channel Strategy

        15.1.9. Samsung Electronics Co. Ltd.

            15.1.9.1. Overview

            15.1.9.2. Product Portfolio

            15.1.9.3. Profitability by Market Segments

            15.1.9.4. Sales Footprint

            15.1.9.5. Strategy Overview

                15.1.9.5.1. Marketing Strategy

                15.1.9.5.2. Product Strategy

                15.1.9.5.3. Channel Strategy

        15.1.10. Xilinx, Inc

            15.1.10.1. Overview

            15.1.10.2. Product Portfolio

            15.1.10.3. Profitability by Market Segments

            15.1.10.4. Sales Footprint

            15.1.10.5. Strategy Overview

                15.1.10.5.1. Marketing Strategy

                15.1.10.5.2. Product Strategy

                15.1.10.5.3. Channel Strategy

16. Assumptions & Acronyms Used

17. Research Methodology

ページTOPに戻る



List of Tables/Graphs

Table 1: Global Deep Learning Chipset Market Value (US$ billion) Forecast by Region, 2017 to 2032

Table 2: Global Deep Learning Chipset Market Volume (Units) Forecast by Region, 2017 to 2032

Table 3: Global Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032

Table 4: Global Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032

Table 5: Global Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032

Table 6: Global Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032

Table 7: North America Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032

Table 8: North America Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032

Table 9: North America Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032

Table 10: North America Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032

Table 11: North America Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032

Table 12: North America Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032

Table 13: Latin America Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032

Table 14: Latin America Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032

Table 15: Latin America Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032

Table 16: Latin America Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032

Table 17: Latin America Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032

Table 18: Latin America Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032

Table 19: Europe Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032

Table 20: Europe Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032

Table 21: Europe Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032

Table 22: Europe Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032

Table 23: Europe Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032

Table 24: Europe Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032

Table 25: Asia Pacific Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032

Table 26: Asia Pacific Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032

Table 27: Asia Pacific Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032

Table 28: Asia Pacific Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032

Table 29: Asia Pacific Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032

Table 30: Asia Pacific Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032

Table 31: Middle East and Africa Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032

Table 32: Middle East and Africa Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032

Table 33: Middle East and Africa Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032

Table 34: Middle East and Africa Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032

Table 35: Middle East and Africa Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032

Table 36: Middle East and Africa Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032

 

ページTOPに戻る

ご注文は、お電話またはWEBから承ります。お見積もりの作成もお気軽にご相談ください。

webからのご注文・お問合せはこちらのフォームから承ります


よくあるご質問


Persistence Market Research社はどのような調査会社ですか?


パーシスタンスマーケットリサーチ(Persistence Market Research/PMR)は独自の方法論を用いたデータ解析と市場調査をベースに広範な産業調査報告書とカスタム調査を提供しています... もっと見る


調査レポートの納品までの日数はどの程度ですか?


在庫のあるものは速納となりますが、平均的には 3-4日と見て下さい。
但し、一部の調査レポートでは、発注を受けた段階で内容更新をして納品をする場合もあります。
発注をする前のお問合せをお願いします。


注文の手続きはどのようになっていますか?


1)お客様からの御問い合わせをいただきます。
2)見積書やサンプルの提示をいたします。
3)お客様指定、もしくは弊社の発注書をメール添付にて発送してください。
4)データリソース社からレポート発行元の調査会社へ納品手配します。
5) 調査会社からお客様へ納品されます。最近は、pdfにてのメール納品が大半です。


お支払方法の方法はどのようになっていますか?


納品と同時にデータリソース社よりお客様へ請求書(必要に応じて納品書も)を発送いたします。
お客様よりデータリソース社へ(通常は円払い)の御振り込みをお願いします。
請求書は、納品日の日付で発行しますので、翌月最終営業日までの当社指定口座への振込みをお願いします。振込み手数料は御社負担にてお願いします。
お客様の御支払い条件が60日以上の場合は御相談ください。
尚、初めてのお取引先や個人の場合、前払いをお願いすることもあります。ご了承のほど、お願いします。


データリソース社はどのような会社ですか?


当社は、世界各国の主要調査会社・レポート出版社と提携し、世界各国の市場調査レポートや技術動向レポートなどを日本国内の企業・公官庁及び教育研究機関に提供しております。
世界各国の「市場・技術・法規制などの」実情を調査・収集される時には、データリソース社にご相談ください。
お客様の御要望にあったデータや情報を抽出する為のレポート紹介や調査のアドバイスも致します。



詳細検索

このレポートへのお問合せ

03-3582-2531

電話お問合せもお気軽に

 

2024/11/05 10:26

153.43 円

167.28 円

201.52 円

ページTOPに戻る